Yi Dai

453 citations
36 papers · 349 · h-index 11

Impact in

  • Biomaterials top 10%
    • Advanced Cellulose Research Studies
    • Nanocomposite Films for Food Packaging
    • Electrospun Nanofibers in Biomedical Applications
    • Lignin and Wood Chemistry
    • Advanced Sensor and Energy Harvesting Materials

Papers in

Yi Dai

32 papers receiving 343 citations

Peers

Yi Dai
Comparison fields: 5 of 75
  • Biomaterials 94
  • Biomedical Engineering 147
  • Polymers and Plastics 41
  • Electrochemistry 14
  • Renewable Energy, Sustainability and the Environment 37
Replace Mohamed Amen Hammami with:
Mohamed Amen Hammami United States
Lingshun Sun China
Anna Trojanowska Spain
Hyungsup Kim South Korea
Yufang Chen China
Stefan Breitenbach Austria
Vahid Hasantabar Iran
Nahid Sarlak Iran
Fangfang Mao China
Giovanna Ruello Italy
Yi Dai relative to Mohamed Amen Hammami United States Mohamed Amen Hammami's profile →
Citations per field
00.5×1.5×
Mohamed Amen Hammami · 1×
Citations per year

Countries citing papers authored by Yi Dai

Since Specialization
Citations

This map shows the geographic impact of Yi Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Dai more than expected).

Fields of papers citing papers by Yi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi Dai. The network helps show where Yi Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Dai Line = papers co-authored together Yi Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202045
3 202042
4 201638
5 202138
6 202015
7 202213
8 201613
9 200912
10 201711
11 202410
12 20229
13 20247
14 20177
15 20205
16 20214
17 20184
18 20194
19 20234
20 20203

About Yi Dai

Yi Dai is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Spectroscopy, Biomaterials and Food Science, having authored 36 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (4 papers), Lignin and Wood Chemistry (4 papers), Analytical Chemistry and Chromatography (4 papers), Advanced Chemical Sensor Technologies (4 papers), Advanced Cellulose Research Studies (3 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (3 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Biomaterials (94 citations), Biomedical Engineering (147 citations), Polymers and Plastics (41 citations), Electrochemistry (14 citations) and Renewable Energy, Sustainability and the Environment (37 citations). Yi Dai has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Chengrong Qin, Yue Situ, Cong Gao, Hong Huang, Defei Liu, Shuangquan Yao, Shifeng Zhou, Baojie Liu, Pedram Fatehi and Minghui Du. Their work appears in journals such as Journal of Chromatography A, Advanced Science, Chemical Engineering Journal, Journal of Separation Science and BioResources.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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